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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications free ebook download

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Mathematics

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Catalogue

Author(s):	Xiao-Sheng Si

Date:	2017	Format:	PDF,EPUB	Language:	English	ISBN/ASIN:	3662540282
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	1/4/2021 9:08:08 AM

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This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail.
The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.
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Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2931596	Book	https://tezfiles.com/file/8fe8e853b8ee8...		8.63	eternal
2931597	Book	https://tezfiles.com/file/158e3223c2455...		15.18	eternal

Tags: Applications Data-Driven Life Methods Models Prognosis Remaining Stochastic Techniques Useful

Title	Link	Password	Size	Reason

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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics